Triple

T9988513
Position Surface form Disambiguated ID Type / Status
Subject National Defense Academy of Japan E196827 entity
Predicate shortName P43 FINISHED
Object NDA
NDA is the National Defense Academy of Japan, a premier institution that educates and trains future officers for the country’s Self-Defense Forces.
 E834295 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: NDA | Statement: [National Defense Academy of Japan, shortName, NDA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NDA
Context triple: [National Defense Academy of Japan, shortName, NDA]
  • A. NDA
    The NDA is a Canadian federal law that governs the organization, duties, and administration of the country’s armed forces and national defence.
  • B. NDA
    NDA is India’s premier joint training institution for future officers of the Army, Navy, and Air Force, located near Pune.
  • C. NDA
    NDA is a major Indian political coalition led by the Bharatiya Janata Party that has formed the central government multiple times since the late 1990s.
  • D. NKDA
    NKDA is the commonly used abbreviation for New Town, a planned satellite township on the eastern fringes of Kolkata, India.
  • E. NDA crest
    The NDA crest is the emblem of India’s National Defence Academy, symbolizing the unity and joint training of the Army, Navy, and Air Force.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NDA
Triple: [National Defense Academy of Japan, shortName, NDA]
Generated description
NDA is the National Defense Academy of Japan, a premier institution that educates and trains future officers for the country’s Self-Defense Forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NDA
Target entity description: NDA is the National Defense Academy of Japan, a premier institution that educates and trains future officers for the country’s Self-Defense Forces.
  • A. NDA
    The NDA is a Canadian federal law that governs the organization, duties, and administration of the country’s armed forces and national defence.
  • B. NDA
    NDA is India’s premier joint training institution for future officers of the Army, Navy, and Air Force, located near Pune.
  • C. NDA
    NDA is a major Indian political coalition led by the Bharatiya Janata Party that has formed the central government multiple times since the late 1990s.
  • D. NKDA
    NKDA is the commonly used abbreviation for New Town, a planned satellite township on the eastern fringes of Kolkata, India.
  • E. NDA crest
    The NDA crest is the emblem of India’s National Defence Academy, symbolizing the unity and joint training of the Army, Navy, and Air Force.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca82f1678c819093d06320a05f16a4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdc79e10408190bcb4e55b6a0df79c completed April 2, 2026, 1:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d258190f408190949d50badb3ec6f9 completed April 5, 2026, 12:39 p.m.
NEDg Description generation batch_69d2599e85e88190aad263e8ba169275 completed April 5, 2026, 12:46 p.m.
NED2 Entity disambiguation (via description) batch_69d25a0cb08481909003b5bdab5c834b completed April 5, 2026, 12:48 p.m.
Created at: March 30, 2026, 8:50 p.m.